Description:

Kraken Technologies France is seeking a Machine Learning Engineer to join their global ML/AI team and focus on implementing AI-powered features for energy management.
The role involves working across the product lifecycle, from exploring new technologies to monitoring the performance of implemented systems.
The Machine Learning Engineer will use state-of-the-art language models and prompting techniques to create features, train models, and deploy them using Python and Kubernetes.
The position requires collaborating with front and backend engineers, staying updated on industry changes, and utilizing technologies like MLflow for model management.

Requirements:

No prior energy supplier experience is necessary, as training will be provided.
The ideal candidate should be passionate about working in the energy sector and contributing to the energy transition.
Curiosity, self-drive, and the ability to make decisions independently are essential qualities for this role.
Fast learner with enthusiasm for adopting new technologies, particularly in the field of language models.
Hands-on experience with machine learning, deploying models in production, and familiarity with technologies like Python, pytorch, huggingface, scitkit-learn, NLP, Kubernetes, and SQL for dataset preparation.

Competitive salary tailored to match the candidate's experience.
Octopus Energy offers a unique culture recognized with awards for being one of the best companies to work for.
Employees enjoy profit-sharing, flex-office, excellent mutual insurance, soft mobility package, and coverage of transportation costs.
Inclusive and fair working environment with equal opportunities for all applicants, regardless of age, gender, marital status, etc.
Customized interview process to accommodate specific needs or preferences of candidates.
Encouragement for all interested candidates to apply, even if they do not meet 100% of the job requirements, as Octopus values diversity and unique perspectives.